Description

Design and maintain infrastructure for machine learning workflows, manage CI/CD pipelines, and deploy ML models into production.

This role is on-site.

Responsibilities

• Develop and implement DevOps and MLOps practices, including model deployment, monitoring, and versioning.
• Design and maintain infrastructure for machine learning model development and implementation.
• Write and optimize Python code for ML development and production environments.
• Manage CI/CD pipelines and automation for ML workflows.
• Monitor and troubleshoot deployed models in production environments.

Required Skills

• 3-5 years of experience in DevOps and MLOps.
• Strong proficiency in Python.
• Experience with CI/CD pipeline management.
• Knowledge of model deployment and infrastructure management.
• Understanding of machine learning lifecycle and version control.
• Ability to monitor and troubleshoot production ML models.

Preferred Skills

• Frontend development experience with Streamlit, TypeScript, Angular, or React.
• Knowledge of code quality standards, security practices, and performance optimization in DevOps and ML operations.

Key Skills

Education

Any Graduate